Optical & Process Engineer
Job in
Redmond, King County, Washington, 98052, USA
Listed on 2026-09-01
Listing for:
Aditi Consulting
Full Time
position Listed on 2026-09-01
Job specializations:
-
Engineering
Process Engineer, Quality Engineering, Research Scientist, Materials Engineering
Job Description & How to Apply Below
Optical & Process Engineer
We are looking for a hands-on optical & process engineer to join a cross-functional team advancing optical material and product development, supporting optical fingerprinting, characterization, measurement execution, and data analysis activities. The ideal candidate is a proactive team player who enjoys laboratory work, is comfortable with repetitive but critical measurement tasks, and demonstrates strong attention to detail and ownership.
Key Responsibilities- Process Measurement & Characterization:
- Execute optical process measurements and characterization tests across materials and components.
- Apply techniques such as ellipsometry, interferometry, profilometry, and UV-Vis-NIR spectroscopy to evaluate thin-film and optical material properties.
- Perform process validation, calibration, and optical reliability testing.
- Maintain and operate benchtop metrology setups in optical and laser lab environments.
- Work in cleanroom and laboratory settings with high accuracy and consistency.
- Process Data Analysis & Root-Cause Investigation (half operator – half engineer)
- Collect, analyze, interpret, and report process data—going beyond routine reporting to identify trends, anomalies, and failure modes.
- Pull and correlate datasets across optical, structural, and process engineering teams to support cross-functional root-cause analysis.
- Use statistical methods (DoE, SPC, trend monitoring) to characterize process stability and drive continuous improvement.
- Communicate findings through structured reports and team presentations.
- Metrology & Tool Development:
- Design and build custom benchtop and pilot-scale process metrology setups to expand internal measurement capabilities.
- Develop automated data collection and analysis pipelines to improve process monitoring and throughput—being sure to validate any work produced or supported by AI tooling
- Support process bring-up, design validation, GRR studies, and measurement system analysis.
- Cross-Functional Collaboration:
- Work closely with optical, process, materials, and design teams.
- Review and interpret microscopy and materials characterization data.
- Contribute to documentation, reporting, and knowledge sharing across teams.
- Bachelor's or master's degree in optics, physics, materials science, chemistry, optical engineering, or a related discipline. A PhD is a plus but not required.
- 3+ years of hands-on optical laboratory or process engineering experience.
- Industry background in optical process or materials engineering strongly preferred.
- Experience working in cleanroom environments—hands-on, ready to work
- Optical process characterization techniques (Required): ellipsometry, interferometry, profilometry, UV-Vis-NIR spectroscopy, and/or confocal/optical microscopy.
- Thin-film process characterization and optical stack analysis (Required): reflectance, transmission, and familiarity with deposition methods such as ALD or PVD.
- Laser and optical lab safety protocols (Required).
- Strong data analysis skills—Python required; MATLAB a plus.
- Familiarity with statistical analysis tools: JMP, Minitab, MATLAB, or similar.
- Strong communication, collaboration, and organizational skills.
- Ability to work effectively across cross-functional teams.
- AR/VR optics.
- Statistical process tools:
DoE, SPC, JMP, Minitab. - Clean room and wet chemistry process familiarity (conceptual understanding sufficient; minimal hands-on expected)
- Microscopy and advanced characterization techniques: SEM, AFM, TEM (work cross functionally with these teams)
- Mechanical testing: adhesion, hardness, and material property characterization.
- Material characterization, including adhesive dispensing.
- CAD tool familiarity.
- Familiarity with AI-assisted data analysis and ability to validate AI-generated results.
- Postdoctoral experience.
- Be eager to learn and develop new technical skills in a fast-moving environment.
- Be comfortable performing repetitive yet business-critical characterization and measurement work.
- Demonstrate curiosity, a growth mindset, and a strong desire to build credibility amongst teams
- Be proactive, self-driven, and ownership-oriented.
- P…
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